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Detection of Tree Cover Dynamic on Belitung Island using Random Forest Regression Aurellia, Najla Natasya; Putra, Tubagus Nur Rahmat; Wakano, Qashdina Saimima; Ananta Fikri Ramadya; Desenaldo, Rania Alifa; Dharmawan, Irwan Ary
Media Konservasi Vol. 30 No. 2 (2025): Media Konservasi Vol 30 No 2 May 2025
Publisher : Department of Forest Resources Conservation and Ecotourism - IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/medkon.30.2.250

Abstract

Belitung Island faces a series of interconnected environmental problems, particularly in forest conservation. Protected forest areas play a crucial role in supporting life but their sustainability is threatened by human activities such as mining exploitation and forest conversion for plantations. Therefore, protecting and restoring protected forest areas are priorities for maintaining the ecosystem's sustainability on Belitung Island. An evaluation was conducted to assess the ecological conditions of conservation areas on Belitung Island by visualizing changes in protected land cover to assist conservation efforts. In this study, the evaluation system for vegetation cover conditions on Belitung Island and Gunung Lalang Grand Forest Park used random forest (RF) regression algorithms and remote sensing data. Satellite image data were used to determine the extent of vegetation cover on Belitung Island, utilizing combinations of bands from Landsat Satellites and MODIS Percent Tree Cover. Satellite images from 2013 to 2023 were used for comparison. This evaluation revealed several class changes in vegetation cover on Belitung Island based on percent tree cover classification over the years serving as an evaluation of land use in the areas under review. The R-squared value of 0.73 indicated that the samples used to predict land cover demonstrated a relatively high level of accuracy. This study could serve as an effective means of predicting and estimating large-scale vegetation changes, as well as a monitoring tool for conservation areas on Belitung Island.
Bathymetry Mapping and Simulation of Water Level in Cirata Reservoir Using Dual Beam Sonar Wijayanti, Risma Dwi Puteri; Aurellia, Najla Natasya; Sobari, Khoirotul Latifah; Kirana, Kartika Hajar
Jurnal Penelitian Pendidikan IPA Vol 11 No 2 (2025): February
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i2.10167

Abstract

The Cirata Reservoir, an important water reservoir in West Java, plays a key role in hydropower generation, irrigation, and flood control. However, increasing sedimentation poses a significant threat to the reservoir’s functionality. This study maps the bottom topography and evaluates flood risks from sedimentation through bathymetric mapping and water level rise simulations. Data was collected from 22 sampling points using Deeper Sonar Pro+, providing precise depth measurements. Depths ranged from 2.1 m to 45.9 m, with an average of 22.4 m and a standard deviation of 13.46 m. The deepest areas are located in the center and near the Citarum River, while shallower areas are found at the estuaries of the Cibalagung and Cisokan Rivers due to sediment deposition. Simulations of water level rise using bathymetric and NASADEM data showed that a rise of up to 15 m would inundate the western, southern, and southwestern regions of the reservoir. Although the total volume of the reservoir is not determined, these findings underscore the need for effective sediment management to sustain the reservoir’s capacity and ecological functions. Further studies are required to estimate the reservoir’s volume and model long-term sedimentation risks to support the Cirata Reservoir's sustainability.